Evidence map›Paper›PMID 35720146›Full record

ArticleIJID regions2022

What is driving unwillingness to receive the COVID-19 vaccine in adult Bangladeshi after one year of vaccine rollout? Analysis of observational data.

Mohammad Ali

Open access · goldAbstract read
In one paragraph

Article in IJID regions, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Mohammad AliDepartment of Physiotherapy and Rehabilitation, Uttara Adhunik Medical College and Hospital, Dhaka, 1230, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The present study aimed to (1) assess the prevalence of COVID-19 vaccine unwillingness and (2) identify the factors associated with vaccine unwillingness. Methods: This cross-sectional study analyzed data of 2633 Bangladeshi adults. Descriptive analysis was performed to compute the prevalence of vaccine unwillingness by the participants' sociodemographic characteristics. Multiple logistic regression analyses were performed to compute Adjusted Odds Ratios (AORs) with vaccine unwillingness as a dependent variable and sociodemographic characteristics as predictor variables for vaccine unwillingness. Results: Overall, 27.4% respondents showed unwillingness to receive the COVID-19 vaccine. Regression model suggested that groups with significantly higher odds of vaccine unwillingness were found to be participants aged 18-25 years (AOR= 3.41, CI= 1.71-6.80), Muslim (AOR= 1.81, CI= 1.21-2.71), participants with higher secondary education (AOR= 3.12, CI= 1.73-5.63), unemployed (AOR= 8.79, CI= 5.42-14.26), participants with monthly household income < □ 15000 (AOR= 4.03, CI= 2.51-6.47), residents of a semi-urban setting (AOR= 1.43, CI= 1.01-2.03), participants affiliated with opposition parties (AOR= 2.82, CI= 1.89-4.21), and participants who did not report that they or their family members tested positive for COVID-19 (AOR= 4.32, CI= 3.08-6.07). Conclusion: The study findings suggested that a certain vaccine literacy campaign targeting semi-urban, low-income, and low-educated Bangladeshi is warranted to ensure the widespread uptake of COVID-19 vaccines in Bangladesh.

Indexed as

BangladeshCOVID-19pandemicsemi-urban populationvaccine hesitancyvaccine intension

Identifiers

PMID35720146
PMCPMC8968141
OpenAlexW4221104553

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.